Lead AI Agent Developer
Srivani V.United StatesLEADPosted 37m ago
Microsoft AzureMicrosoft FoundryAzure OpenAIPythonC#MCPLLMVector searchAzure AI SearchIdentity managementAccess controlsSecrets managementAI securityMicrosoft Agent FrameworkMicrosoft FabricMicrosoft GraphSharePointAzure FunctionsLogic AppsAPI ManagementAzure Service BusLangGraph
About the Role
We are seeking a Lead AI Agent Developer to join our team in Irvine, CA. This role involves designing, developing, and deploying AI agents using Microsoft Azure, Microsoft Foundry, and Azure OpenAI. The position is a 12-month contract to hire with a hybrid work schedule (3 days office, 2 days remote).
Key Responsibilities
• Design, develop, and deploy AI agents using Microsoft Azure, Microsoft Foundry, and Azure OpenAI.
• Build agentic workflows, tool calling, multi-agent orchestration, and human-in-the-loop processes.
• Develop MCP clients and servers to integrate AI agents with enterprise APIs, tools, and data sources.
• Integrate AI agents with enterprise systems, databases, REST APIs, and business applications.
• Implement secure authentication, authorization, data protection, and responsible AI guardrails.
• Develop scalable, reliable, and maintainable solutions using Python and/or C#.
• Establish reusable AI components, engineering standards, and best practices.
Mandatory Skills
• Strong hands-on experience with Microsoft Azure and Azure OpenAI.
• Experience building and deploying LLM-powered AI agents and agentic workflows.
• Working knowledge of Microsoft Foundry and relevant agent-development frameworks.
• Strong programming skills in Python and/or C#.
• Experience with MCP, function calling, tool integration, and API orchestration.
• Hands-on experience with vector search, and Azure AI Search or equivalent.
• Knowledge of identity management, access controls, secrets management, and AI security.
• Strong troubleshooting, problem-solving, and technical communication skills.
Preferred Skills
• Microsoft Agent Framework, Microsoft Fabric, Microsoft Graph, and SharePoint integration.
• Azure Functions, Logic Apps, API Management, and Azure Service Bus.
• Experience with agent evaluation, LLM observability, and prompt-injection mitigation.
• Familiarity with LangGraph or comparable agent orchestration frameworks.
• Experience delivering enterprise AI solutions at scale.
Experience and Qualifications
• 8+ years of software engineering, cloud development, or enterprise integration experience.
• 3+ years of relevant AI/ML or Generative AI experience preferred.
• Demonstrated experience delivering AI agents beyond proof of concept into production.
• Proven ability to work independently, lead technical implementation, and collaborate across teams.